Selected Intern's Day-to-day Responsibilities Include Identify potential customer segments and industries Assist in building and updating lead databases Help prepare sales decks, email templates, and promotional material Update customer interactions and campaign responses in CRM tools (like HubSpot, Salesforce) Monitor campaign performance metrics (open rates, click rates, conversions) Schedule meetings, take notes, and follow up on action items Respond to basic inquiries from prospects Help qualify leads before passing to the sales team About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech. Show more Show less

Data Scientist – Deep Learning (Financial Services Domain) We are seeking a highly skilled and motivated Data Scientist with a strong background in deep learning and quantitative analysis to join our advanced AI team. This role is ideal for professionals who are passionate about applying cutting-edge machine learning techniques to solve complex problems in the financial services domain. Key Responsibilities: Design, implement, and deploy deep learning models for financial use cases, including stock price prediction, risk scoring, and algorithmic trading. Optimize models for performance and scalability through techniques such as quantization, pruning, and efficient architecture design. Rigorously evaluate models using appropriate metrics, validation techniques, and hyperparameter tuning, while maintaining robust experiment tracking practices. Deploy and maintain machine learning workflows using MLOps best practices on cloud platforms (AWS preferred). Conduct exploratory data analysis (EDA), feature engineering, and time-series analysis on structured and unstructured financial datasets. Apply advanced pattern recognition techniques to derive insights and predictive signals from data. Stay abreast of the latest research in deep learning, including advancements in LLMs, attention mechanisms, and financial NLP. Collaborate with cross-functional teams, including quantitative analysts, fellow data scientists, and product managers, to translate business requirements into technical solutions. Ensure high-quality code, documentation, and backtesting processes. Required Qualifications: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related discipline from a reputed institute (IITs or BITS preferred). 5-7 years of experience in developing and deploying deep learning or AI models, ideally within the financial services industry. Hands-on experience with PyTorch or TensorFlow , and Python data libraries such as pandas, NumPy, and scikit-learn . Strong background in predictive modeling, anomaly detection, and pattern recognition using financial data. Proficient in Python or PySpark for large-scale data processing. Ability to work with diverse financial datasets, including stock prices, order books, financial statements, and alternative data sources. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure) for model training, deployment, and scaling. Familiarity with ML pipelines, Docker, and modern MLOps frameworks. Exposure to Natural Language Processing in finance (e.g., sentiment analysis, earnings call transcripts). Working knowledge of core financial concepts such as P&L, return metrics, technical indicators, and risk measurement.

About the job: We are seeking a proactive and results-driven Hardware Sales Executive to drive sales of B2B wearbles, AI enabled devices and related products. The role involves identifying new business opportunities, managing client relationships, and delivering products to meet customer needs. Key Responsibilities: 1. Identify and engage prospective customers through calls, field visits, and networking. 2. Understand client requirements and recommend suitable hardware solutions. 3. Develop and maintain relationships with key clients, partners, and vendors. 4. Prepare and deliver sales presentations, quotations, and product demos. 5. Negotiate contracts and close sales deals to achieve monthly/quarterly targets. 6. Stay updated on new hardware technologies and market trends. 7. Maintain accurate sales records and provide regular reports to management. 8. Collaborate with technical and support teams to ensure smooth delivery and post-sales service. Qualifications & Skills: 1. Bachelor's degree in Business, IT, Engineering, or related field. 2. 1+ years of experience in B2B hardware sales. 3. Excellent communication, negotiation, and interpersonal skills. 4. Proven ability to meet and exceed sales targets. 5. Proficiency in MS Office and CRM software. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Mumbai only Salary: ₹ 4,50,000 - 5,20,000 /year Experience: 1 year(s) Deadline: 2025-08-29 23:59:59 Other perks: 5 days a week, Health Insurance Skills required: MS-PowerPoint, B2B Sales and English Proficiency (Spoken) About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech.

What are we looking for? As an Events Coordinator, you will play a key role in planning, organizing, and executing a variety of events, ranging from corporate meetings and conferences to social gatherings. Your responsibilities will include coordinating logistical details, liaising with vendors, managing timelines, and ensuring a seamless and successful event experience. Hunger to learn, perform & contribute, Smart in approach, great communication skills, doesn’t hesitate to speak up his / her mind, will not be “yes sir”, acts with speed and very quality conscious. Responsibilities Event Planning: Collaborate with clients or internal stakeholders to understand event objectives, themes, and requirements. Develop comprehensive event plans, including budgets, timelines, and logistics. Logistics Coordination Arrange and coordinate event logistics such as venue selection, catering, audiovisual equipment, transportation, and accommodation. Ensure all necessary permits and approvals are obtained. Vendor Management Identify, negotiate with, and manage relationships with vendors, suppliers, and contractors. Obtain quotes and make decisions based on cost-effectiveness and quality. Communication And Coordination Serve as the main point of contact for clients, vendors, and internal teams. Communicate effectively to ensure everyone involved is informed and aligned on event details. Timeline Management Create and manage detailed timelines to ensure all aspects of the event are executed seamlessly. Anticipate and address potential issues or challenges. On-Site Coordination Oversee the setup, execution, and breakdown of events. Manage on-site staff, volunteers, and vendors to ensure everything runs smoothly. Budget Management Develop and adhere to event budgets. Track expenses and provide regular financial updates. Post-Event Evaluation Conduct post-event evaluations to assess the success of the event. Gather feedback from clients, attendees, and stakeholders for continuous improvement. About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech.